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IEEE Standard for Assumptions in Safety-Related Models for Automated Driving Systems IEEE批准的自动驾驶系统安全相关模型假设标准草案
发布日期: 2022-04-22
本标准适用于道路车辆。对于一组场景,规范性部分定义了在开发自动驾驶系统(ADS)的安全相关模型时应考虑的其他道路使用者合理可预见行为的最低假设集。 本标准的信息部分进一步定义了安全相关模型和方法的共同属性列表,以帮助验证安全相关模型是否考虑了规范性最小假设集。资料性附录举例说明了如何在ADS开发中使用拟议的最小假设集。 不确定性的来源,如预测或感知错误,超出了本标准的范围。 本标准并不保证在所有情况下整个系统的安全。
This standard applies to road vehicles. For a set of scenarios, a minimum set of assumptions regarding reasonably foreseeable behaviors of other road users are defined that shall be considered in the development of safety-related models for automated driving systems (ADS). This standard further defines a list of attributes common to contributed safety-related models and methods to help verify whether a safety-related model takes the minimum set of assumptions into consideration. An informative annex instantiates several examples of how the proposed minimum set of assumptions could be employed in ADS development. Sources of uncertainty, such as prediction or perception errors, are out of scope to this standard. This standard does not guarantee the safety of the overall system in all scenarios.
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